Forskningsgrupper
Forskningsprosjekter
Avsluttede forskningsprosjekter
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AI-Mind
Prosjektet har som mål å redusere utfordringene ved demens med å utvikle nye diagnostiserende verktøy og forbedre effektiviteten i helsesystemet.
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Teknologi og kunnskapsoverføring basert på samarbeid mellom Tsjekkia og Norge
Dette samarbeidsprosjektet mellom OsloMet og universitetet Hradec Králové i Tsjekkia vil utveksle erfaringer med teknologi- og kunnskapsoverføring.
Publikasjoner og forskningsresultater
Vitenskapelige publikasjoner
Gåsvær, Kaspara Skovli;
Lind, Pedro
; Langguth, Johannes; Hjorth-Jensen, Morten; Kreil, Michael; Schroeder, Daniel Thilo
(2026).
The 5G COVID-19 Digital Wildfire: An evolving network of Twitter contacts to explore phase transition metaphors in viral misinformation.
PLOS ONE.
Vol. 21.
https://doi.org/10.1371/journal.pone.0343661
Mathema, Rujeena; Nav, Shamimeh Mohajeri;
Bhandari, Shailendra
; Regmi, Manoj;
Lind, Pedro
;
Yazidi, Anis
; Silva, Pedro Rego Lencastre e
(2026).
Comprehensive dataset of features describing eye-gaze dynamics across multiple tasks.
Scientific Data.
https://doi.org/10.1038/s41597-026-06754-x
Kasahara, Yuri; Schroeder, Daniel Thilo;
Yazidi, Anis
;
Lind, Pedro G.
(2026).
The Dynamics of Hate Speech: Assessing Anti-Muslim Hate Speech in Norwegian Social Media.
Social science computer review.
https://doi.org/10.1177/08944393261417730
Budhathoki, Anup; Gorjão, Leonardo Rydin;
Lind, Pedro
;
Bhandari, Shailendra
(2026).
Jump-diffusion models of parametric volume-price distributions.
The European Physical Journal Special Topics (EPJ - Special Topics (EPJ ST)).
https://doi.org/10.1140/epjs/s11734-026-02323-w
Orioma, Charles; Krivan, Josef Jan; Mathema, Rujeena; Silva, Pedro Rego Lencastre e;
Lind, Pedro
; Szorkovszky, Alexander;
Bhandari, Shailendra
(2026).
Identification of fixations and saccades in eye-tracking data using adaptive threshold-based method.
The European Physical Journal Special Topics (EPJ - Special Topics (EPJ ST)).
https://doi.org/10.1140/epjs/s11734-026-02324-9
Riechers, Keno; Morr, Andreas; Lehnertz, Klaus;
Lind, Pedro G.
; Boers, Niklas; Witthaut, Dirk; Gorjão, Leonardo Rydin
(2025).
Discontinuous stochastic forcing in Greenland ice core data.
Climate Dynamics.
Vol. 63.
https://doi.org/10.1007/s00382-025-07880-9
Betten, Jørn Eirik; Mazouni, Quentin; Groß, Dennis;
Lind, Pedro
; Spieker, Helge
(2025).
Reusable Test Suites for Reinforcement Learning.
Bonfanti, Silvia; Papadopoulos, George Angelos (Red.).
Testing Software and Systems: 37th IFIP WG 6.1 International Conference, ICTSS 2025, Limassol, Cyprus, September 17–19, 2025, Proceedings | Springer Nature Link. s. 125-141.
Springer Nature.
https://doi.org/10.1007/978-3-032-05188-2_9
Silva, Pedro Rego Lencastre e; Devkota, Ananta;
Bhandari, Shailendra
;
Kuriakose, Bineeth
;
Lind, Pedro
(2025).
Comparing eye-tracking time series imaging methods in ADHD screening.
Proceedings of the International Joint Conference on Neural Networks.
https://doi.org/10.1109/ijcnn64981.2025.11228340
Ojha, Jaya; Presacan, Oriana;
Lind, Pedro G.
; Monteiro, Eric;
Yazidi, Anis
(2025).
Navigating Uncertainty: A User-Perspective Survey of Trustworthiness of AI in Healthcare.
ACM Transactions on Computing for Healthcare (HEALTH).
Vol. 6.
https://doi.org/https://dl.acm.org/doi/10.1145/371
Khadka, Rabindra; Sengupta, Poushali;
Lind, Pedro
;
Yazidi, Anis
(2025).
Quantization of Vision Transformer-Based Model for Real-Time EEG Classification.
Azab, Abdulrahman; Malki, Tomasz (Red.).
Nordic e-Infrastructure Tomorrow
6th Nordic e-Infrastructure Collaboration Conference NeIC 2024, Tallinn, Estonia, May 27–29, 2024 Proceedings. s. 17-27.
Springer Nature.
https://doi.org/10.1007/978-3-031-86240-3_2